N8N On GOD Mode! (N8N + MCP)
AI Summary
Summary of Video Transcript
- The video discusses a significant change in how workflows are created in NetN (n10) due to the introduction of the Model Context Protocol (MCP).
- MCP allows for the connection of tools to a Language Learning Model (LLM), such as OpenAI’s Chat model.
- The presenter explains that previously, for each action (like updating or deleting a calendar event), a separate agent had to be built.
- With MCP, a single server can host all possible actions for a tool, eliminating the need to create sub-agents for each action.
- The presenter demonstrates how to set up MCP using a GitHub repository named
n81 nodes MCP.- Instead of manually setting up MCP, the presenter uses a tool called Cursor to automate the process.
- Detailed steps are provided for setting up MCP using Cursor, including downloading Docker, creating a setup document, and running scripts.
- The presenter shows how to integrate MCP into n10, allowing the AI agent to list and execute tools based on user input.
- The video includes a demonstration of using MCP to get the latest AI news using the Brave browser.
- Links to the setup file and Cursor are promised in the video description, as well as a link to a library of over 2,000 MCP servers (smith.ai).
- The presenter also mentions a community for learning about building AI agents and applications with n10 and Cursor, with links provided in the video description.
Detailed Instructions and URLs Extracted
- GitHub repository for MCP setup:
n81 nodes MCP(exact URL not provided).- Download Docker for containerization: (exact URL not provided).
- Download Cursor for automation:
ker.com(exact URL not provided).- Access to a library of MCP servers:
smith.ai(exact URL not provided).- The presenter mentions a setup file and links to various resources, but exact URLs are not included in the transcript provided.
(Note: The exact URLs for the GitHub repository, Docker, Cursor, and smith.ai library are not provided in the transcript text. The URLs mentioned are placeholders based on the transcript and should be searched for their accurate addresses.)